AgentBay Mobile Use gives AI agents a cloud-hosted Android environment to control mobile applications the way a human user would—tapping, swiping, and reading the screen—without physical hardware. Built on the AgentBay multimodal cloud runtime, it supports deep interaction with mobile apps and handles the full range of automated workflows that AI agents need to execute.
Use cases

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Mobile application testing
Functional testing: Simulate user operations to verify that mobile application features work correctly.
Compatibility testing: Test mobile application compatibility across different Android device environments.
Performance testing: Monitor mobile application response speed and resource consumption.
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Mobile office
Document processing: Automatically complete tasks on mobile devices such as document creation, editing, and format conversion.
Message management: Automate sending, receiving, categorizing, and replying to instant messages.
Mobile communication: Automate summarizing instant messages and refining replies on mobile devices.
Report generation: Automatically generate business and analysis reports on mobile devices.
Process approval: Automate mobile office workflows that require manual approval.
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System administration
Application configuration: Automate mobile application settings and configuration tasks.
Application installation: Install and configure mobile applications in batches.
Maintenance tasks: Automate mobile device maintenance and cleanup tasks.
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Research and education
Experiment control: Automate the control of scientific experiment equipment and processes on mobile devices.
Data processing: Automate the processing and analysis of experiment data from mobile devices.
Teaching assistance: Automate the organization and distribution of teaching resources on mobile devices.
Core capabilities
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Mobile native
Multi-device simulation: Supports multiple Android OS versions and configurable screen sizes and resolutions. It is compatible with the latest applications.
Touch interaction: Supports native touch operations—tap, swipe, and long-press—so agents can interact with apps exactly as a human user would.
Mobile feature support: Provides access to mobile-specific features including gravity sensing, GPS positioning, and cameras.
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Elastic and scalable
Fast deployment: Create and delete cloud phone instances in seconds. Batch operations let you stand up an entire test fleet without manual setup.
Resource elasticity: Adjust cloud phone resource configurations on demand to match task requirements and control costs.
Parallel execution: Run multiple cloud phone instances simultaneously to cut testing and development cycle times.
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Developer friendly
Multiple access methods: Connect via SDK, Model Context Protocol (MCP), or Alibaba Cloud Streaming Protocol (ASP), with support for Python, TypeScript, and Go.
Visual debugging: Stream real-time operations over ASP and replay recorded sessions to diagnose agent behavior and optimize workflows.
Serverless architecture: Runs on a cloud-native serverless infrastructure with elastic scaling and pay-as-you-go billing, so you manage tasks—not servers.